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- W2891357768 abstract "The use of Neural networks has found a variegated field of applications in the present world. This has led to the development of various models for financial markets and investment. This paper represents the idea how to predict share market price using Artificial Neural Network with a given input parameters of share market. Artificial Neural Network can remember data of any number of years and it can predict the feature based on the past data. This paper makes use feed forward architecture for prediction. The network was trained using ten year data. It shows a good performance for market prediction. The network selected though was not able to predict exact value but it succeeded in predicting the trends of stock market." @default.
- W2891357768 created "2018-09-27" @default.
- W2891357768 date "2017-05-31" @default.
- W2891357768 modified "2023-09-24" @default.
- W2891357768 title "STOCK MARKET PREDICTION USING MACHINE LEARNING" @default.
- W2891357768 doi "https://doi.org/10.21090/ijaerd.rtde14" @default.
- W2891357768 hasPublicationYear "2017" @default.
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